Sonam Sandeep Dash

ORCID: 0000-0003-1306-6925
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About
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Research Areas
  • Hydrology and Watershed Management Studies
  • Flood Risk Assessment and Management
  • Plant Water Relations and Carbon Dynamics
  • Hydrology and Drought Analysis
  • Hydrological Forecasting Using AI
  • Water resources management and optimization
  • Remote Sensing in Agriculture
  • Climate variability and models
  • Urban Heat Island Mitigation
  • Environmental and Agricultural Sciences
  • Soil erosion and sediment transport
  • Hydrology and Sediment Transport Processes
  • Groundwater and Watershed Analysis
  • Cryospheric studies and observations
  • Precipitation Measurement and Analysis
  • Soil Moisture and Remote Sensing
  • Forest ecology and management
  • Climate change impacts on agriculture
  • Aeolian processes and effects
  • Irrigation Practices and Water Management
  • Groundwater flow and contamination studies
  • Soil and Land Suitability Analysis
  • Agriculture Sustainability and Environmental Impact
  • Peanut Plant Research Studies
  • Environmental Impact and Sustainability

King Abdullah University of Science and Technology
2024

University College Dublin
2022-2024

Indian Institute of Technology Kharagpur
2018-2023

Centurion University of Technology and Management
2021-2022

Applying data mining techniques for rainfall modeling because of a lack sufficient memory components may increase uncertainty in forecasting. To solve this issue, research, deep-learning-based long short-term (LSTM) model is developed the first time forecasting monthly data, and its capability compared with random forest (RF) data-driven model. end, period 41 years (1980–2020) from two meteorological stations Turkey, namely Rize Konya, different climatic conditions, are used. The analysis...

10.1080/19942060.2021.2009374 article EN cc-by Engineering Applications of Computational Fluid Mechanics 2022-01-12

The applicability of Soil and Water Assessment Tool (SWAT) for rainfall-runoff modelling in the river-reservoir integrated catchment-command areas is limited due to description paddy-field dynamics. To model dominant hydrology most catchments Asian countries with tropical monsoon type climatology, popular SWAT couples a pothole module place conventional Curve Number (CN) approach. Although few approaches are existing literature, efficacy these modules have not been evaluated catchment-scale...

10.1016/j.agwat.2023.108138 article EN cc-by Agricultural Water Management 2023-01-06

Abstract The present study assessed the impact of climate change in Anandapur catchment Baitarani River basin, India, using Soil and Water Assessment Tool (SWAT) hydrological model. future climatic alterations under two Representative Concentration Pathways (RCPs), i.e. 4.5 8.5 scenarios, are quantified by an ensemble different CMIP5 models, CNRM-CM5.0, GFDL-CM3.0. outcomes this reveal that rainfall temperature may experience increasing trend with gradual shifting monsoon from mid-June to...

10.2166/wcc.2019.080 article EN cc-by Journal of Water and Climate Change 2019-11-01

Abstract The hydrologic behaviour of the Brahmani River basin (BRB) (39,633.90 km2), India was assessed for base period (1970–1999) and future climate scenarios (2050) using Soil Water Assessment Tool (SWAT). Monthly streamflow data 2000–2009 2010–2012 used calibration validation, respectively, performed satisfactorily with Nash-Sutcliffe Efficiency (ENS) 0.52–0.55. projected climatic outcomes HadGEM2-ES model indicated that minimum temperature, maximum precipitation may increase by...

10.2166/wcc.2020.202 article EN cc-by Journal of Water and Climate Change 2020-04-21

ABSTRACT The present study focused on evaluating the separate and combined response of land use cover climate change (CC) future water balance components a Subarnarekha River basin, spanning between latitudes 21°33′N–23°18′N longitudes 85°11′E–87°23′E, situated in eastern India. Soil Water Assessment Tool is used for single-site calibration multi-site (MSC) model to characterize basin using Cellular Automata-Markov projections under two representative concentration pathway (RCP) scenarios...

10.2166/wcc.2024.581 article EN cc-by Journal of Water and Climate Change 2024-03-07

Abstract The estimate of changes in hydrological fluxes from a climate change perspective is inevitable for assessing the sustainability watersheds and conserving water resources. Here, we quantify assess different flux components Manu-Deo River Basin (MDRB) northeast India using Soil Water Assessment Tool (SWAT) simulations multi-temporal data at various resolutions. Sequential Uncertainty Fitting (SUFI-2) optimization used to calibrate validate periods 1984–2006 2007–2016 four future...

10.2166/wcc.2022.424 article EN cc-by-nc-nd Journal of Water and Climate Change 2022-03-08

Abstract The stable water isotope method is widely applied to distinguish the evapotranspiration ( ET ) components across various vegetation‐covered surfaces. partitioning in urban woodland area useful for guiding precision irrigation, thereby promoting conservation. For first time, this study partitions locust forest areas based on observations period 2019–2020. composition of δ and soil evaporation E were determined using Keeling‐plot Craig–Gordon model, respectively. steady‐state (SS)...

10.1002/eco.2431 article EN Ecohydrology 2022-05-14

Climate change induced spatiotemporal variation in global water availability modifies the proposed design criteria of infrastructure structures like dams and reservoirs. Although reservoir operation is treated as a potential adaptation option, obsolescence existing rules climate scenarios could cause devastating situation through faulty management practices. Presently onboard simulation-optimization based schemes fail to capture uncertainty involved scenario. Hence, there need identify...

10.1038/s41598-023-49107-z article EN cc-by Scientific Reports 2023-12-08
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